Monday, February 11, 2019

Why You Need to Automate Your Customer Support With Chatbots

Up until 2015, social media dominated the electronic world, creating a new method of sharing content, managing customer support, or communicating around the world. We all got used to it and so were expecting instant gratification and simplicity from everything electronic. In 2015, messaging apps such as Messenger, Whatsapp, Kik, and Telegram took over social websites concerning users.

This generated a new shift in how we get advice on the internet: dialog became the new method of sharing -- the newest interface. That, of course, had a powerful effect on the service business, which consequently faced a drastic increase in online interactions. Thus, companies today are having to find ways to effectively manage the higher requests while still providing outstanding customer care.

The industry numbers speak for themselves: 60 percent of respondents believe that one minute is too long to be on hold, 42 percent whine about the necessity to talk to various brokers, and 78 percent finishing contracts due to terrible support. This amounts to $1.6tr annual losses due to poor customer support in the US alone. Clearly, something needs to change.

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What Is the Future of Customer Care?


Hire more agents? While that would be the default option, many major companies now have thousands of service agents and have attained a plateau in productivity. Implementing new people does not really improve the stats.

Compose more FAQs and support content? While that could be a remedy, all support departments know that most individuals don't bother to go and look for a response but want to be told right and in real time. Additionally, every customer thinks they have a special problem and needs personalized support.

It is not more agents, it is not new content, certainly the optimal solution is automation.

But how do we automate sections of customer service to offer interactive and instant answers on different channels? Conversational technology is the answer during the integration of agents powered by artificial intelligence.

"Chatbots are making their way into the landscape of customer relations with the opportunity and promise to offer you a better client experience.The hype is as powerful as the advantages this new communication channel can bring: a very simple interface, an enriched customer connection with customized recommendations, a 24/7 accessibility, etc.. ."

Olivier Laborde - Innovation & Digital Transformation Leader

Now, it's only natural to feel apprehensive when thinking about AI.

After all,"72% of Americans are very or somewhat concerned about a future where robots and computers are capable of performing many human tasks -- more than double the 33 percent of people who have been enthusiastic about the prospect" (origin ). However, when talking about customer support automation, we are not referring to humanoid robots telling you to turn your system off and on again. We're speaking about chatbots. Chatbots are computer applications capable of understanding human language and also to answer accordingly. They are not physical beings: they are an interface you can chat with in your telephone or laptop.

"For me, chatbots are full of promises, even if they have a way to go."

Jérôme Colombain, Tech journalist at France Info

How AI Chatbots Can Improve Customer Satisfaction

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These days, the objective of chatbots is not to understand everything, rather handle a selected number of topics, such as bill management, order tracking, account management. These are simple and repetitive tasks that don't require the added-value that people bring. By prequalifying requests, handling simple questions and routing customers to the right services, bots also make the lives of support representatives much easier.

"A chatbot can effectively respond to simple customer questions or manage appointments. However, chatbots will not replace programs (unless perhaps the most basic ones) or human client connections. Their strength lies in their ability to respond instantly to simple requests and to qualify needs before redirection."

Camille Jourdain, Blogger and author

A fantastic example is our cooperation with a significant French service firm. When we met together, they explained their battle with the rising number of requirements overwhelming an already overstretched customer service service. We sat down together and identified the most frequent conversations with their customers and determined which could be automated. Usually, we focus on automating conversations which can be qualified as simple: trades of 3-4 messages where a response is readily provided.

The solution set up was to automate these with a chatbot to provide 24/7 availability while reducing the service workload, after that which we call the receptionist pattern. The secretary pattern is as soon as the bot is designed to comprehend each user input and is capable of either handling them autonomously or redirect them to the correct agent. In some complex cases, we combine both: the bot handles the very first portion of the conversation, usually gathering customer information, and then hands over to an individual agent. For AI chatbot testing services you can search online and get latest updates. 

These days, the bot is able to accelerate the handling of queries regarding invoice management up to 2 or 3 occasions. It works together with individual representatives on other queries by collecting client data, such as the contract number, the right telephone line involved, which particular invoice or what portion of this invoice, before moving the dialogue into the broker. It's also capable of transferring any customer to the correct service on the initial effort, preventing endless redirections.

"Chatbots are key tools of good integrated customer experiences. They shouldn't be created within an information island however, whenever possible, integrated with the organization's customer relationship management systems.

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The simpler this integration is, the greater it'll be to make state of the art chatbots. Additionally, there must be a human oversight system in place, whether the chatbot is enabling human operators or the other way round.

The majority of the time, artificial intelligence is powered with human originated content and data. This is particularly true with chatbots."

Olivier Ezratty, Tech writer and author

The chatbot enabled our client to drastically improve customer support satisfaction by lowering conversation duration by half and reducing the rate of numerous transfers, showing an immediate effect on their churn rate. The bot also allowed for an increase in the support centres' productivity: after all, the bot successfully resolves 20% of all conversations. 

Together with the time gained, agents also refocused on jobs with a higher added value like personalized or sales support, therefore generating new revenue, something all brands must search.

This is only an illustration of exactly what AI can bring about corporations today. Based on Adobe's latestDigital Trends report,"15 percent of organizations are currently using AI. And 31 percent said it is on the agenda for the next 12 months" Will you be one of these?

Thursday, February 7, 2019

Recognizing Code Refactoring: A Tester's Perspective

The expression 'Refactoring' is mainly utilize to signify demanded code clarification/redesign.

In this tutorial, we'll understand the definition of refactoring, discuss the need for code refactoring, and also review the impact of refactoring code on several different project team members. We will also talk about the answer for the most crucial question -- As a professional, why do you need to know about refactoring?

Introduction to Refactoring

To start with, let's understand, what actually refactoring is.

Refactoring is essentially a practice or procedure of enhancing the database or code while maintaining the current functionality. The notion is to change ineffective and also the over-complicated code into more effective, preferably simpler and easier code.

Refactoring of code has also picked up momentum with teams today by following this Agile Software Development approach. Project teams often have limited time to implement new or expand the functionality of the current attributes and code that is clean. The code which is not difficult to comprehend and maintain certainly goes a long way in fulfilling the iteration deadline.

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Need for Code Refactoring

If we are maintaining the initial functionality of this application or module, then a question arises as Why do we even bother refactoring? Well, There are many reasons for which a particular module or piece of code may have to be refactored, such as:

Code Colors
Technical debt
Agile software development strategy, etc..

We will discuss these points in detail in the following sections.

#1) Code Colors:

All of us can understand when the food begins to smell it suggests that it's probably turning bad -- this is true for code also! Code colors are indications a much serious problem may exist within the code.

Following are some Frequent code property:
  • Presence of redundant or equal code.
  • A announced variable that isn't used anywhere in the remaining part of the code.
  • Over complicated code design.
  • Code course that does too little and doesn't justify the occurrence of the class defined. Such classes are referred to as lazy class or freeloader.
  • The existence of too many loops and conditions having the capability to be broken up and simplified.
  • Code construct in a manner that a change in one portion of code demands that the change to be implemented in the other places as well.
  • Code property become more obvious with passing moment. Since the program or system develops, finally these code aromas start affecting the code development, upkeep and even system the performance in extreme situations.

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#2) Technical Debt:

While creating a program, during the limited time and resources readily available, often we may take shortcuts to accomplish the desired effects.

Think about a feature that has to be added to a current module. After discussion, the group narrows down two approaches to add this feature. Approach A, takes two sprints to send, are the approved long-term strategy. Strategy B takes just 5 days to send is a messy hard-coded hack that is intended to simply service the module at short term.

In case the team is under pressure to supply the characteristic within a restricted time, then they may agree to follow Procedure B for now and add Procedure A from the backlog for future. Using this method, this group just created the technical debt for themselves.

#3) Following Agile Software Development Approach:

Agile software development strategy advocates incremental improvement. Without clean, well-structured and easy to maintain code, it wouldn't be possible for groups to extend the present code with each iteration. If the code has been changed without proper refactoring, then it could bring about code smells or specialized debt.

Why a QA Must Know About Refactoring?


All we discussed until now in this tutorial appears to be associated with coding and resembles the kind of things a developer should worry about.

Subsequently, why are we discussing this unrelated theory in Software Testing? Read the rest of this tutorial to get the answer to this question.

#1) For Unit Testers/Developers

Even though refactoring the code, even as new code is being added, old courses are being upgraded, new classes have been added, and present Unit evaluations may now neglect. Additionally, for legacy systems, there may not be a unit tests employed in any respect. This new unit tests will need to be made and set up from scratch in the vast majority of cases.

#2) For Testers

When a feature is being refactored (considering we aren't adding any new operation ), the understanding is that following the required changes are completed, the majority of the operation for your end-user should stay the same.

As a tester, refactoring of code approximately equates to in-depth testing + regression testing. In-depth testing need to include all the current user flows to make sure that plugins are working as before.

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Regression testing of the entire application (or impacted areas) is required to make sure that upgrading a module didn't unintentionally break the functionality of their other modules.
User acceptance tests will likely be important and these evaluations need to maneuver before the product can be declared ready for launch.

Also, another evaluation required such as load evaluations, safety evaluation etc. would also need to be executed as required.

#3) Automation Evaluation Engineers

Refactoring of code can cause operational and non invasive automation scripts to fail.

This may occur Because of the following reasons:

If the page objects change as part of the refactoring campaign and if your Selenium automation scripts rely on the page objects, then the scripts will fail and would need to get upgraded.

When there were minor modifications, then it redirects those Which Were added or removed during refactoring, and existing automation scripts would fail and would Have to Be updated
It is recommended that the functional automation evaluations should just be installed after a feature is stable, otherwise it is going to lead to a lot of rework since the attribute evolves.

Being a developer of automation evaluations, automation test engineers must also think as a developer and aim to create a clean and simple to keep code. Most of the IDE's like IntelliJ IDEA, Eclipse etc., comprise in-built refactoring menu using commonly used refactoring approaches for simple reference.

Monday, February 4, 2019

5 Key Aspects to Consider Before Outsourcing QA and Software Testing

Digital transformation and continuous shift to agile and DevOps management models are transforming how QA and testing are carried out. Digitization of businesses has an augmented focus on software testing within the SDLC, and this dependency has increased the costs of testing, infrastructure, and skill sets that are needed to implement them. This is the main reason for the increasing demand to outsource software testing.
The customers require strategy, best practices, expertise, infrastructure and resources to bring efficiency in the software testing methodology. Let us have a look at some crucial aspects to consider before outsource software testing.
Quality Assurance Outsourcing Services

1. Expertise
While selecting a Quality Assurance and Software Testing company, there are various questions to ask yourself to identify the right service provider. Does the partner hold appropriate experience? Does the partner have required client-communication procedures? Matching up your requirements with the proficiency of a partner is critical. The partner should also have readily-available resources to meet your needs.
2. A Balance of Cost and Skills
Budget is a significant aspect to consider. However, it should not result in hiring amateur resources. It is suggested to not take decisions solely based on cost factors. Because hiring amateurs often times lead to more issues and a significant increase in cost.
3. Thought-leadership
One of the most important aspect while choosing a QA company should be its proficiency and subject matter expertise in QA and testing. It is important that the company has its own set of IPs, in-house accelerators, proper research and is readily investing in new trends.
4. Reputation in the market
Credibility and relevancy of the testing partner are crucial. Proper research on the company’s leadership and reputation in the market should be checked before offering the project to a company.
5. Ethical conduct
Picking a partner with great values and good ethical conduct is important. The partner should display a responsible attitude and give you confidence that the partner would advise on the right strategies and guide you through times of issues or failures. Checking for customer references may be a good idea to validate the credentials.
Hence, the partner should come as a complete package to be able to service your outsourced QA activities. TestingXperts’ highly-skilled QA and software testing engineers are well-equipped with the latest test testing tools, trends, and methodologies. With customized and client-centric engagement models by Tx, enterprises get required flexibility and cost-effectiveness.
TestingXperts has distributed agile teams in different time zones to help enterprises leverage the expertise of global teams. TestingXperts also provides its clients with a real-time outsourcing model, providing round-the-clock customer service. Connect with Tx today!
Article Source: https://www.testingxperts.com/blog/5-Key-Aspects-to-Consider-Before-Outsourcing-QA-and-Software-Testing